Hannah Klinkhammer

619 total citations
18 papers, 101 citations indexed

About

Hannah Klinkhammer is a scholar working on Genetics, Molecular Biology and Statistics and Probability. According to data from OpenAlex, Hannah Klinkhammer has authored 18 papers receiving a total of 101 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 7 papers in Molecular Biology and 4 papers in Statistics and Probability. Recurrent topics in Hannah Klinkhammer's work include Genetic Associations and Epidemiology (7 papers), Genomics and Rare Diseases (4 papers) and Genetic and phenotypic traits in livestock (4 papers). Hannah Klinkhammer is often cited by papers focused on Genetic Associations and Epidemiology (7 papers), Genomics and Rare Diseases (4 papers) and Genetic and phenotypic traits in livestock (4 papers). Hannah Klinkhammer collaborates with scholars based in Germany, Netherlands and Luxembourg. Hannah Klinkhammer's co-authors include Andreas Mayr, Carlo Maj, Kerstin U. Ludwig, Axel Schmidt, Sebastian Röner, Martin Kircher, Peter Krawitz, Christian Staerk, Nadja Klein and Stefan Aretz and has published in prestigious journals such as Bioinformatics, Scientific Reports and Statistics in Medicine.

In The Last Decade

Hannah Klinkhammer

17 papers receiving 100 citations

Peers

Hannah Klinkhammer

GENET

PFM

Zheng-Zheng Tang United States

Minsun Song United States

Carolyn Ch’ng Canada

Alec Chiu United States

Joshua S. Weinstock United States

Magdalena Danyel Germany

Ana P. Estrada-Florez United States

Bethany Torr United Kingdom

Arto Mannermaa Finland

Zheng-Zheng Tang United States

Hannah Klinkhammer

269 ×5.2

GENET

131 ×3.3

28 ×2.0

11 ×0.9

PFM

11 ×1.2

Citations per year, relative to Hannah Klinkhammer Hannah Klinkhammer (= 1×) peers Zheng-Zheng Tang

Countries citing papers authored by Hannah Klinkhammer

Since Specialization

Citations

This map shows the geographic impact of Hannah Klinkhammer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Hannah Klinkhammer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hannah Klinkhammer more than expected).

Fields of papers citing papers by Hannah Klinkhammer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannah Klinkhammer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Hannah Klinkhammer. The network helps show where Hannah Klinkhammer may publish in the future.

Co-authorship network of co-authors of Hannah Klinkhammer

This figure shows the co-authorship network connecting the top 25 collaborators of Hannah Klinkhammer. A scholar is included among the top collaborators of Hannah Klinkhammer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hannah Klinkhammer. Hannah Klinkhammer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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18 of 18 papers shown

Terheyden, Jan Henrik, Charlotte Behning, Hannah Klinkhammer, et al.. (2025). Associations Between Structural Phenotype and Polygenic Risk Scores in Intermediate Age-Related Macular Degeneration – A MACUSTAR Report. Translational Vision Science & Technology. 14(9). 37–37.

Klein, Nadja, et al.. (2025). Boosting distributional copula regression for bivariate binary, discrete and mixed responses. Statistical Methods in Medical Research. 34(5). 887–902. 1 indexed citations

Michel, Stefan, et al.. (2025). Effectiveness of Technology-Supported Ultrasound Training in Prenatal Diagnosis through an Adaptive Image Recognition Training System (AdaptUS). Geburtshilfe und Frauenheilkunde. 85(3). 323–332. 1 indexed citations

Klein, Nadja, et al.. (2025). Enhanced Variable Selection for Boosting Sparser and Less Complex Models in Distributional Copula Regression. Statistics in Biosciences. 1 indexed citations

Staerk, Christian, et al.. (2024). Generalizability of polygenic prediction models: how is the R2 defined on test data?. BMC Medical Genomics. 17(1). 132–132. 3 indexed citations

Klinkhammer, Hannah, Núria Bonifaci, Isabel Spier, et al.. (2023). Ability of a polygenic risk score to refine colorectal cancer risk in Lynch syndrome. Journal of Medical Genetics. 60(11). 1044–1051. 2 indexed citations

Lesmann, Hellen, et al.. (2023). The future role of facial image analysis in ACMG classification guidelines. Medizinische Genetik. 35(2). 115–121. 4 indexed citations

Schmidt, Axel, et al.. (2023). Predicting the pathogenicity of missense variants using features derived from AlphaFold2. Bioinformatics. 39(5). 35 indexed citations

Beisvåg, Vidar, Elizabeth Holliday, Joan Brunet, et al.. (2023). MTHFR C677T and A1298C polymorphism’s effect on risk of colorectal cancer in Lynch syndrome. Scientific Reports. 13(1). 18783–18783. 3 indexed citations

10.

Spier, Isabel, Hannah Klinkhammer, Friederike S. David, et al.. (2023). Clinically relevant combined effect of polygenic background, rare pathogenic germline variants, and family history on colorectal cancer incidence. BMC Medical Genomics. 16(1). 42–42. 12 indexed citations

11.

Maj, Carlo, Hannah Klinkhammer, Peter Krawitz, et al.. (2023). AI-based multi-PRS models outperform classical single-PRS models. Frontiers in Genetics. 14. 1217860–1217860. 10 indexed citations

12.

Sivalingam, Sugirthan, Andreas Buneß, Hannah Klinkhammer, et al.. (2023). Gene-based burden scores identify rare variant associations for 28 blood biomarkers. BMC Genomic Data. 24(1). 50–50. 2 indexed citations

13.

Klinkhammer, Hannah, Christian Staerk, Carlo Maj, Peter Krawitz, & Andreas Mayr. (2023). A statistical boosting framework for polygenic risk scores based on large-scale genotype data. Frontiers in Genetics. 13. 1076440–1076440. 6 indexed citations

14.

Mauschitz, Matthias M., Hannah Klinkhammer, Marlene Saßmannshausen, et al.. (2023). Prevalence and determinants of subretinal drusenoid deposits in patients’ first-degree relatives. Graefe s Archive for Clinical and Experimental Ophthalmology. 262(1). 53–60. 2 indexed citations

15.

Klein, Nadja, et al.. (2023). Boosting multivariate structured additive distributional regression models. Statistics in Medicine. 42(11). 1779–1801. 6 indexed citations

16.

Maj, Carlo, et al.. (2023). Assessing the performance of European-derived cardiometabolic polygenic risk scores in South-Asians and their interplay with family history. BMC Medical Genomics. 16(1). 164–164. 3 indexed citations

17.

Maj, Carlo, Christian Staerk, Oleg Borisov, et al.. (2022). Statistical learning for sparser fine‐mapped polygenic models: The prediction of LDL‐cholesterol. Genetic Epidemiology. 46(8). 589–603. 6 indexed citations

18.

Sivalingam, Sugirthan, Andreas Buneß, Hannah Klinkhammer, et al.. (2022). GenRisk: a tool for comprehensive genetic risk modeling. Bioinformatics. 38(9). 2651–2653. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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